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Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting., and . CISS, page 1-6. IEEE, (2014)The True Sample Complexity of Identifying Good Arms., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1781-1791. PMLR, (2020)Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits., , , and . CoRR, (2023)LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning., , , , , , , and . CoRR, (2023)A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity., , , , and . CoRR, (2023)Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design., , , , , and . PLoS Comput. Biol., (2022)Finite Sample Prediction and Recovery Bounds for Ordinal Embedding., , and . NIPS, page 2703-2711. (2016)Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9429-9469. PMLR, (2023)First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22384-22429. PMLR, (2022)Task-Optimal Exploration in Linear Dynamical Systems., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10641-10652. PMLR, (2021)